Matrix Asset Advisors Inc 13F holdings and portfolio analysis

BereitMatrix Asset Advisors Inc · David Katz

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Baseline

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Baselinetested
Strategie-Q&A-Referenz3 Referenz-Q&A

Vorbereitete Q&A zu diesem Fonds. Als Referenzkontext für Ihre eigene Analyse verwenden.

baseline13FChat AI
What does directly following the disclosed baseline portfolio expose an investor to?

Directly following the baseline exposes an investor to a moderately concentrated, sector-skewed portfolio with meaningful filing-lag and trading-friction risk. Top 5 holdings are 26.43% and top 10 are 45.56%, with MSFT at 7.62%, MS at 5.07%, JPM at 4.81%, AAPL at 4.56%, and PNC at 4.37%. Financials are the largest sector at 31.76%, followed by Information Technology at 23.82%. Even with beta below market at 0.93, the backtest still suffered a -36.26% max drawdown, 2,443 trades, 1.54 total estimated cost, and risk notes that one quarter approached 100% turnover, all of which make real-world replication harder than the headline holdings imply.

Ask the app to show how baseline results change after stressing trading costs, turnover, and delayed execution assumptions.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

The recent baseline trade-off is best explained by a mix of strong rebound quarters and repeated smaller shortfalls. The strongest recent upside came in 2024-06-30, when the baseline returned 10.88% versus 9.83% for SPY, for +1.05% excess return, and in 2025-09-30, when it returned 2.72% versus 1.49%, for +1.24%. But weak periods were frequent: 2023-06-30 returned -4.64% versus -1.77% (-2.87% excess), 2024-12-31 returned -5.29% versus -3.63% (-1.66%), and 2025-06-30 returned 1.79% versus 4.20% (-2.41%). Turnover also stayed meaningful, ranging from 8.86 in 2023-12-31 up to 22.22 in 2025-06-30, showing that the baseline’s modest 9.52% annualized return came with both drawdown and implementation friction.

Ask the app for a chart of excess return versus turnover by quarter to see whether the baseline’s better quarters actually justified the trading activity.
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

Before accepting the baseline, a user should inspect three things: sector concentration, turnover costs, and which holdings actually drove recent excess return. Sector weights show 31.76% in Financials and 23.82% in Information Technology, while top 10 holdings are 45.56%, so concentration is material even before looking beyond the top names. Implementation matters too: the backtest logged 2,443 trades and 1.54 total estimated cost, and the risk notes warn that delayed filing-based execution and a near-100% turnover quarter can create slippage. Finally, the period table shows mixed outcomes, with excess returns swinging from +1.05 in 2024-06-30 to -2.87 in 2023-06-30 and -2.41 in 2025-06-30, so the next step is to identify whether those swings came from a small set of names or a broader style effect.

Ask the app to attribute baseline excess return by holding and sector for the last 8 quarters before deciding whether the baseline is investable.
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